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  • TikTok’s AI Revolution: How Neural Networks Are Changing Advertising and UGC Content

    TikTok’s AI Revolution: How Neural Networks Are Changing Advertising and UGC Content

    The era of mass video generation by neural networks is already here. If you’ve ever considered running ads on TikTok, but the Ads Manager interface seemed too complex and the entry barrier too high, then this article is for you. We will tell you how new AI videos for advertising and AI-powered tools like Agentic Hub, Symphony Creative Studio, and Content Suite simplify campaign creation, management, and optimization, allowing you to generate AI UGC for a crypto project or any other business without deep expert knowledge of the platform.

    TikTok AI: New Horizons for Advertisers

    TikTok is actively implementing AI tools to democratize the process of creating and managing ad campaigns. According to Melissa Lorie, a short-form video expert, if TikTok Ads Manager is a restaurant, then MCP (Marketing Campaign Platform) is the waiter, and AI tools (like Claude or ChatGPT) are the menu.

    Thanks to this integration, marketers can interact with platforms in a normal way, asking questions about campaign performance, requesting reports, and generating ideas.

    MCP: Two-Way Data Exchange with AI

    Before MCP, connecting AI tools to ad platforms required complex API integrations implemented by developers. MCP provides two-way communication between AI and the platform, allowing not only data extraction but also actions to be taken.

    Some connections are read-only (for reports), while others are read-write (for creating campaigns or adjusting settings directly from an AI tool).

    Pro Tip: AI recommendations should not be taken as gospel. If a new creative has only been running for a few days, TikTok’s AI might suggest pausing it because it’s performing worse than older creatives. However, this ignores the fact that the platform prioritizes ads that have been running longer.

    Marketers need to rely on their own judgment and challenge AI suggestions by asking questions like: “Is there another way to do this?” or “Can I do this better?” Often, AI revises its recommendations when challenged.

    AI Skills: Shortening the Path to Success

    Available skills include Viral Video Creator, Ad Group Optimizer, Account Diagnosis Co-pilots, and ByteDance’s C-Dance video creation tool. These skills can be found by searching for “TikTok AI skills” online.

    • Viral Video Creator: This skill, a favorite of Melissa Laurie, analyzes millions of videos processed daily by TikTok to identify the most effective ads. Marketers can use this data to model their own videos, from the catchy beginning to the call to action. Melissa estimates that the skill brings creative work to 70% completion; the remaining 30% requires human refinement, such as emphasizing specific product benefits. This allows the AI for UGC advertising to operate at peak efficiency.
    • Skill Flexibility: Since skills are files, they can be modified, copied, and improved. Marketers familiar with AI can add additional instructions on top of official TikTok skills, customize recurring tasks, and create their own automations.
    • Cross-Platform Compatibility: An unexpected benefit is that skills are not tied to the platform on which they were created. A marketer can use a TikTok copywriting skill to create ads for Meta or find that Meta’s Instagram copywriting skill works better for their TikTok campaigns. This interoperability represents a complete paradigm shift.

    Campaign Management Automation

    For campaign management automation, Melissa recommends starting with the following basic tasks:

    • Automating daily performance reports.
    • Querying AI about which creative has the strongest “hooks.”
    • Monitoring creative fatigue.

    When setting up a campaign, marketers can tell the AI their budget and goals (e.g., “I have $5,000, and I want to achieve X”) and request specific recommendations for campaign setup. This allows mass video generation by AI to become truly manageable.

    Symphony Creative Studio: AI-powered Production by Subscription

    Symphony Creative Studio is TikTok’s hub for creating AI-powered commercials. The updated Symphony Agent uses TikTok trends, signals from top-performing ads, business goals, and brand guidelines to create creatives at scale.

    The tool can take a campaign from brief to finished video, generating product briefs, insights, storyboards, scripts, avatars, and videos. Marketers then intervene to revise scenes, add voiceovers, and refine calls to action. This is true AI content production.

    Instant Video Generation from Text

    The interface is simple and resembles the query window of any other AI tool. Marketers add their prompts, brand guidelines, and other details, and Symphony generates videos almost instantly. This allows for generating video from text with unprecedented speed.

    Product Videos: Where AI Shines Brightest

    Product videos are an area where Symphony is currently delivering the strongest results. Melissa gives the example of a furniture company that uses this tool to create 100 videos a week, each showcasing a separate piece of furniture.

    Since these videos don’t require people on camera, the company can produce content at a scale that would be impossible with traditional video production. This is an AI pipeline of 500 videos per day for e-commerce.

    AI Avatars: Challenges and Prospects

    Animated AI characters in videos are not yet ready for most brands. The consensus among many leading companies is that the technology is not yet mature enough to create convincing human presenters. The trust issue is real: an AI avatar saying “all my friends are talking about this” raises obvious concerns. However, AI avatars with subtitles and AI voiceovers are already actively used for other purposes.

    Hybrid Approach: AI-Enhanced Real Videos

    Melissa sees potential in using AI to enhance real videos, rather than completely replacing them. Her agency, Oysterly Media, works with 3M on content for a mop. Creators film themselves demonstrating the mop, and then AI adds visual elements, such as animated “angry germs,” to dramatize the before-and-after effect.

    AI-революция TikTok: Как нейросети меняют рекламу и UGC-контент — illustration 2

    This hybrid approach—real creator plus AI enhancement—is one of two main ways that prominent brands are using AI video now. The other is product demonstration videos without people, especially in the beauty industry, where AI can render product materials, textures, and effects, such as how lip gloss looks when applied.

    Content Suite: Market Research with AI

    Content Suite is a library of UGC-style videos and ads running on the platform. The new AI search update significantly simplifies finding relevant content for research and ideas, solving one of the biggest challenges marketers face: coming up with new content ideas. This is a powerful tool for AI UGC for crypto projects and other niches.

    Smart Search and Competitive Analysis

    Marketers can search Content Suite by keywords, industry categories (e.g., airlines or beauty), time filters (e.g., last 30 days), campaign goal (sales, lead generation, or brand awareness), and geography. The tool functions similarly to Facebook Ads Library, but is easier to navigate, especially with AI search.

    Melissa recommends starting by searching for the company’s own brand, then expanding to competitor products and the broader industry category. The real value lies in seeing what creatives other brands in the same niche are launching and using that insight to create original content.

    Content Suite can also be used for direct competitive research, identifying what types of ads competitors are investing in and what creative approaches they are testing. For those who have not yet used TikTok advertising, Content Suite is the best starting point. Before spending money, browse the library to see what videos are being created in the relevant industry. This research expands creative thinking and provides concrete models to work with.

    Anatomy of a High-Performing TikTok Video

    As AI tools make ad creation more accessible, the quality bar on the platform is rising. Melissa argues that the way to stay above this rising bar is to understand what makes a video high-performing. The first frame matters most, not the first three seconds.

    Key elements of a captivating video:

    1. First Frame: The initial image of the video that a viewer sees before deciding to scroll past. This single frame determines whether someone stops.
    2. Billboard Text: A large text overlay on the screen. Melissa calls it “billboard text” because it works like a roadside billboard: the viewer has one moment to glance at it while scrolling, so it must instantly grab attention and convey the video’s value.
    3. Opening Words: If there’s a voiceover or someone speaking, the first few spoken words must immediately hook the viewer after the visuals have stopped the scroll.
    4. Connecting Tissue: Melissa’s term for the element that connects the beginning of the video to its middle section. Without this connecting tissue, viewers drop off between the “hook” and the main body.
    5. Middle Content: When sharing tips, Melissa recommends grouping them in sets of 3 or 5. Three is the ideal number to keep content concise.
    6. Abrupt End: The video should end with a sharp cut so that viewers don’t realize it’s about to end. A common mistake is slowing down and speaking more slowly towards the end, which signals the video’s conclusion and gives viewers a reason to scroll past. A clean cut tells the algorithm that viewers watched until the end, which helps with distribution.

    Authenticity vs. Polish

    Melissa’s agency preaches creating videos that feel like content from a family member or friend. Polished, staged videos make viewers scroll past because they are immediately perceived as ads. Naturalness is what drives performance.

    Tips for creating natural content:

    • Don’t stand still and talk directly into the camera. Instead, creators should be doing something while talking: picking up a water bottle, applying makeup, or walking through a door.
  • Even raw videos benefit from light editing. Melissa recommends setting a clear start and end point, adding subtitles (as many viewers scroll without sound), and using occasional jump cuts. These jump cuts signal to the brain that something interesting is happening, helping to retain viewers.

Pro Tip: Don’t give away the ending at the beginning of the video. Build anticipation by first hinting at the implications, then deliver the reveal in the middle or at the end. For example, instead of starting with “Instagram just launched feature X,” start with “Instagram just made a very big update. This will change how you do X, Y, and Z.” Then explain the implications before finally revealing the specific update. When the answer is given first, viewers have no reason to keep watching.

Conclusion: The Future of AI Production

Melissa Laurie, founder of Oysterly Media, believes that marketing agencies still have an important place in this new landscape. She compares it to flying: economy, business class, and first class all get passengers to the same destination, but some companies prefer the full range of agency services.

What has changed is that the economy option – doing it yourself with AI – is now a viable path for businesses willing to invest time in learning. Want to learn more about how AI writes scripts and edits, and how to use mass generation APIs? Explore new TikTok tools, browse Content Suite, and start experimenting. The future of AI clips with face swapping and AI video factories for e-commerce is already here, and it’s accessible to anyone willing to master these technologies. Start scaling your content production today!

Frequently Asked Questions

What is Agentic Hub and how does it help with TikTok advertising?

Agentic Hub is a TikTok platform that allows the integration of AI tools for creating, managing, and optimizing advertising campaigns. It simplifies marketers’ interaction with Ads Manager, enabling them to ask questions and receive reports in natural language, and automate routine tasks.

Can TikTok AI tools be used for other platforms?

Yes, one of the key advantages of TikTok’s AI skills is their cross-platform compatibility. For example, TikTok’s copywriting skill can be used to create ads for Meta, opening up new opportunities for marketers and changing the paradigm of working with different ecosystems.

How effective is Symphony Creative Studio for video creation?

Symphony Creative Studio allows you to generate videos from text, using TikTok trends, effective ad signals, and brand books. The best results are achieved when creating product videos without people in the frame. Some companies generate up to 100 videos per week, which would be impossible with traditional production. This is an excellent Synthesia alternative for mass production.

Should you use AI avatars in advertising videos?

Currently, AI avatars are not ready for most brands due to issues with persuasiveness and trust. Experts recommend using AI to enhance real videos, for example, by adding visual effects or animated elements, rather than completely replacing human presenters. However, AI avatars with subtitles and AI voiceovers can be useful in other contexts.

How to get started with AI advertising on TikTok?

Melissa Laurie recommends starting by exploring new TikTok tools and reviewing the Content Suite to understand what content other brands in your niche are creating. This will help form the basis for developing original creatives without initial advertising costs.

  • Artificial Intelligence in Business: How to Build a Team of AI Employees

    Artificial Intelligence in Business: How to Build a Team of AI Employees

    In today’s business environment, many leaders face the same headache: how to optimize workflows and free up team time for strategic tasks. Instead of just using AI for one-off requests, imagine having a whole staff of AI employees who perform routine operations, following your standards and schedule. This article will explain how to turn AI from a simple tool into a full-fledged member of your team, capable of taking on some of the work and increasing business efficiency.

    Implementing AI: From One-Off Requests to a Systemic Approach

    Many companies claim to actively use AI. However, as Callan Faulkner, founder of The Uncommon Business, notes, this often boils down to one-off requests. For example, a sales manager might spend an hour creating a commercial proposal using Claude or ChatGPT, but the next time a request comes in, the process starts from scratch. This is inefficient and does not allow for the full potential of the technology to be utilized.

    • Lack of reusable instructions.
    • Failure to create a knowledge base (successful proposals, objection handling methods).
    • AI does not become a repeatable system that supports the process.

    Creating an AI employee is a completely different skill. Callan defines it as “a trained, reusable AI system that performs a specific business function as well as or better than a human.”

    Benefits of a Systemic Approach to AI

    Systemic AI implementation brings significant benefits. Callan Faulkner’s company, The Uncommon Business, projects $40 million in revenue with a staff of about 50 people. A few years ago, such a result would have required a much larger team. The goal is not to reduce staff, but to unlock human potential.

    “Callan has never fired a person because of AI. Instead, AI allows employees to focus on strategic and creative work that truly inspires them.”

    However, a gap is already noticeable between employees trained in AI and those who are not. A marketer without AI skills can spend weeks creating landing pages and images, while a trained specialist does 10 times more in a day. The problem is not replacing humans with AI, but the need for humans who can effectively manage AI.

    Three Fundamental Concepts for Creating AI Employees

    Before you start creating an AI employee, you need to master two key concepts and one important asset.

    Concept 1: Finding the shortest path to an “A+” result

    Many professionals, by habit, strive to do everything themselves, proving their worth. Today, this becomes a burden. Callan’s philosophy: the fast track to an outstanding result is a new competitive advantage. This does not mean “cutting corners,” but rather optimizing the process.

    For example, Callan’s team used to spend days developing Instagram carousels. Now, after training Claude Design on examples of their best work, they create a polished carousel in eight minutes, and ten carousels in half an hour. The quality remained the same, but time and energy costs were reduced.

    Concept 2: Training equals quality of result

    Without proper training, AI produces generic and impersonal content. To get a unique and high-quality result, you need to document standards:

    • Publication goal.
    • Brand tone and voice.
    • Examples of successful content.

    If these details are not documented and passed on to the AI, it will have nothing to base itself on. Callan gives an example from her podcast: every step of the process must be described in detail so that AI employees can work at the proper level.

    Asset: Your “business brain”

    A “business brain” is a centralized repository of all important company documentation: prices, processes, standards, brand voice, ideal customer profiles, past successes, etc. If the documentation is insufficient for a new employee, it will be insufficient for AI. AI employees are only as effective as the data they have access to. The time of chaotic files on Google Drive is over.

    How to build an AI employee from scratch

    The process begins with an audit of current tasks. Callan recommends identifying all daily, weekly, or monthly tasks that generate revenue but do not bring satisfaction or are valued at less than $50 per hour. This could be:

    • Content design and editing.
    • Creating presentations.
    • Generating commercial proposals.
    • Writing email newsletters.

    For example, Callan’s copywriter, Nick, spent most of his time writing sales pages. He documented his approach, analyzed the most successful pages, and began creating AI employees to produce content. Now Nick manages a team of AI copywriters and QA specialists, focusing on strategy and creative direction.

    Professional tip: Even tasks in which you feel like an expert are worth analyzing. Callan found that after training AI in processes in which she considered herself the best, the AI’s results sometimes surpassed her own. Transitioning from creator to editor is a more efficient use of time.

    AI Interview Method

    Once you’ve defined the task, open a new chat in Claude and describe the situation in detail:

    • Who you are.
    • What the company does.
    • What specific task the AI should perform.
    • What the ideal outcome looks like.

    Then, ask Claude to conduct an interview by asking five high-impact questions to extract your exact process. Callan prefers voice input as it provides richer context. Tools like Wispr Flow allow you to speak rather than type, which facilitates a more complete and nuanced description.

    “Board of Directors” Technique

    For complex decisions, Callan uses Claude to assemble a team of 3-5 experts in the relevant field to discuss the best approach. For example, when creating executive compensation packages, she asked Claude to draw on frameworks from Mark Cuban and Sara Blakely. This resulted in recommendations based on proven business thinking, rather than generic search results.

    Training and Testing AI Employees for Outstanding Results

    Once you’ve achieved an excellent result in a chat with Claude, the next step is to save it as a “skill.” Within Callan’s framework, a skill is a saved, reusable set of instructions that is available at any time and connected to Claude. It’s like a “prompt on steroids”: one command triggers a complex, trained process. “A skill is an AI employee,” says Callan.

    Managing Skill and Memory Changes

    After creating a skill, Callan asks Claude: “What do I need to do to turn this into a reusable skill?” The answers usually point to creating a Claude Project — a workspace where knowledge files, instructions, and skills are stored. For example, for a sales proposal skill, the project might include past successful and unsuccessful proposals, all pricing information, and 15 key objections with detailed descriptions of how to handle them.

    Artificial intelligence in business: how to create a team of AI employees — illustration 2

    The final layer is connectors. If a workflow involves external tools (e.g., saving a proposal to a CRM or sending it via Salesforce), Claude connectors allow the skill to interact directly with these platforms. A fully built AI employee works as a skill, based on a knowledge base, with activated connectors, and the entire team is trained to use it.

    Testing and Refinement

    After creating a skill, the real work begins. Callan advises: test each skill to exhaustion. Most people are content with mediocre results from AI. Callan recommends persistently demanding better. If Claude produces something mediocre, she explicitly states that it can do better and asks it to try again. Often, it is after such a “push” that the desired result is achieved.

    Her skill as a voice copywriter, one of the most valuable AI employees, required fifteen hours of work. This investment is justified when compared to human training. It took three months of weekly work for her copywriter to start writing in her style. Many, however, give up on AI training after 45 minutes, believing it cannot grasp their style.

    The testing process follows a specific pattern:

    1. Launch the skill.
    2. Check the result.
    3. Manually correct parts that do not meet the standard.
    4. Return corrections to Claude with a specific request: “I made the following changes to your output to meet my standards. Please update your skill to incorporate these changes and use them in future outputs.”

    A useful trick: during the conversation, ask Claude: “What have you learned from our interactions?” and ask it to update the skill so that these lessons are reinforced. An important technical detail: skills and memory in Claude Projects can become out of sync. Claude can update its memory based on the conversation but not update the underlying skill. Callan recommends explicitly telling Claude to update the skill itself, and then manually clicking the save button.

    Projects also have their own invisible project-level skills that can conflict with workspace-level skills. When creating a skill that should work across all projects, specify “workspace skill” or “core skill” so that it is available everywhere, not just in one project.

    Pro Tip: For teams building skills at scale, Callan’s company copies each skill into a Notion database, tracking who created it, when, the version, and its purpose. They even have a skill that checks their skill database for duplicates. Each department manages its skill repository, and skill management is a standard part of every quarterly review.

    Scheduling AI Employees for Autonomous Execution

    Once a skill has been thoroughly tested and refined to a high standard, it can be scheduled for autonomous work without human intervention.

    Current limitation: the computer running Claude must be turned on for scheduled tasks to execute. Callan uses a dedicated office computer logged into the corporate Claude account. Any employee wishing to schedule a skill logs into this account on that machine.

    Callan uses Claude’s scheduled task feature via the Claude Cowork desktop application. There are options to select the day, time, and frequency of skill execution. There is no limit to the number of active scheduled tasks.

    One of Callan’s scheduled skills is the “Instagram Researcher.” Every Monday morning at 6:00 AM, it visits competitor Instagram accounts, identifies viral content in the AI education sphere, analyzes the approaches and “hooks” used, extracts content transcripts from the previous week, and adds content ideas directly to the Notion database. Her social team logs in on Monday morning and manually approves the ideas they want to implement. What used to be a routine task for the social team on Monday morning is now performed autonomously.

    Another scheduled skill runs hourly, extracting meeting transcripts from Granola and archiving them into a Notion database that powers her “second brain.”

    Conclusion: Invest in AI Employees for Business Scaling

    Creating AI employees is not just automation; it’s an investment in the strategic scaling of your business. Shifting from routine operations to managing efficient AI systems allows your team to focus on creativity and innovation, addressing “customer pain points” related to lack of time and resources. If you are looking for full-cycle short video production or comprehensive promotion through short videos, consider how AI employees can take on some of the work. This allows you to order everything in one place, effectively replacing part of the team with a service. Are you ready to rethink your business processes and build a team where AI and people work in harmony? Start with a task audit and document your standards today. Learn more about how to choose a contractor for social media content outsourcing, and what mass posting quality criteria are truly important to avoid wasting your budget.

    Frequently Asked Questions

    What is an AI employee and how does it differ from regular AI use?

    An AI employee is a trained, reusable AI system that performs a specific business function as well as or better than a human. Unlike one-time AI requests, an AI employee is part of a systematic approach that automates repetitive tasks, following defined standards and schedules.

    How do I start creating my first AI employee?

    Start with a self-audit: identify tasks that are time-consuming, revenue-generating, but unfulfilling or undervalued. Then document each step of performing that task, its purpose, quality standards, and examples of successful outcomes. Use the AI interview method in Claude to describe the process in detail.

    Do I need to be a technical specialist to create AI employees?

    For 90% of business operations, creating AI employees does not require technical skills. The key is communication (the ability to clearly articulate needs) and creativity (resourcefulness to bring AI to an outstanding result).

    How to ensure high-quality results from an AI employee?

    The key to quality is thorough training and testing. Document all standards, tone of voice, examples of ideal results. After creating a skill in Claude, test it exhaustively, demanding improvements from the AI until the result meets your “A+” standards. Don’t forget to regularly update the AI’s skills and memory.

    Can AI employee work be automated on a schedule?

    Yes, once a skill is debugged, it can be scheduled for autonomous execution. Use scheduling features in tools like Claude Cowork to set the day, time, and frequency for the skill to run. This allows for the automation of routine tasks such as data collection, competitor analysis, or content generation.